Prediction of U.S. General Aviation fatalities from extreme value approach

Prediction of U.S. General Aviation fatalities from extreme value approach •Extreme value analysis is very useful in traffic prediction like aviation traffic.•Uncertainty management due to the estimation of parameters and choice of thresholds.•Three iterative graphical methods used to identify the appropriate threshold range.•Nonparametric bootstrap to estimate root mean square errors & confidence intervals.•Case study on extreme value statistics in U.S. General Aviation fatalities modeling. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Transportation Research Part A: Policy and Practice Elsevier

Prediction of U.S. General Aviation fatalities from extreme value approach

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Publisher
Elsevier
Copyright
Copyright © 2018 Elsevier Ltd
ISSN
0965-8564
eISSN
1879-2375
D.O.I.
10.1016/j.tra.2018.01.022
Publisher site
See Article on Publisher Site

Abstract

•Extreme value analysis is very useful in traffic prediction like aviation traffic.•Uncertainty management due to the estimation of parameters and choice of thresholds.•Three iterative graphical methods used to identify the appropriate threshold range.•Nonparametric bootstrap to estimate root mean square errors & confidence intervals.•Case study on extreme value statistics in U.S. General Aviation fatalities modeling.

Journal

Transportation Research Part A: Policy and PracticeElsevier

Published: Mar 1, 2018

References

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